Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1-pro
45
Winner · 0/8 categoriesPharia-1-LLM-7B-control
Coming soon
0/8 categorieso1-pro· Pharia-1-LLM-7B-control
Benchmark data for o1-pro and Pharia-1-LLM-7B-control is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for Pharia-1-LLM-7B-control yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
o1-pro has the larger context window at 200K, compared with 8K for Pharia-1-LLM-7B-control.
| Benchmark | o1-pro | Pharia-1-LLM-7B-control |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 40% | — |
| BrowseComp | 50% | — |
| OSWorld-Verified | 32% | — |
| Coding | ||
| SWE-bench Pro | 23% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 48% | — |
| OfficeQA Pro | 49% | — |
| Reasoning | ||
| LongBench v2 | 54% | — |
| MRCRv2 | 59% | — |
| Knowledge | ||
| GPQA | 79% | — |
| FrontierScience | 63% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MMLU-ProX | 52% | — |
| Mathematics | ||
| AIME 2024 | 86% | — |
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
o1-pro: $150.00 input / $600.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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